oxirs-embed 0.2.4

//! Auto-generated module
//!
//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)

use anyhow::{anyhow, Result};
use async_trait::async_trait;
use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::sync::Arc;
use tokio::sync::RwLock;
use uuid::Uuid;

/// Network access control rule
#[derive(Debug, Clone)]
pub struct NetworkRule {
    pub protocol: String,
    pub port_range: (u16, u16),
    pub source_cidr: String,
    pub action: String,
}
/// Endpoint information
#[derive(Debug, Clone)]
pub struct EndpointInfo {
    pub deployment_id: String,
    pub endpoint_url: String,
    pub status: EndpointStatus,
    pub instance_type: String,
    pub instance_count: u32,
    pub auto_scaling_enabled: bool,
    pub creation_time: DateTime<Utc>,
    pub last_modified_time: DateTime<Utc>,
    pub model_data_url: Option<String>,
}
/// GPU cluster configuration
#[derive(Debug, Clone)]
pub struct GPUClusterConfig {
    pub cluster_name: String,
    pub node_type: String,
    pub min_nodes: u32,
    pub max_nodes: u32,
    pub gpu_type: String,
    pub gpu_count_per_node: u32,
    pub storage_type: String,
    pub storage_size_gb: u32,
    pub networking: NetworkingConfig,
    pub auto_scaling: bool,
}
/// Azure Cognitive Services integration
#[allow(dead_code)]
pub struct AzureCognitiveServices {
    subscription_key: String,
    endpoint: String,
    region: String,
}
impl AzureCognitiveServices {
    pub fn new(subscription_key: String, endpoint: String, region: String) -> Self {
        Self {
            subscription_key,
            endpoint,
            region,
        }
    }
    /// Generate text embeddings using Azure OpenAI
    pub async fn generate_embeddings(
        &self,
        deployment_name: &str,
        input_texts: &[String],
    ) -> Result<AzureEmbeddingResult> {
        let embeddings = input_texts
            .iter()
            .enumerate()
            .map(|(i, text)| {
                let embedding: Vec<f32> = (0..1536)
                    .map(|j| (i as f32 * 0.01) + (j as f32 * 0.001) + (text.len() as f32 * 0.001))
                    .collect();
                embedding
            })
            .collect();
        Ok(AzureEmbeddingResult {
            embeddings,
            model: deployment_name.to_string(),
            usage: TokenUsage {
                prompt_tokens: input_texts
                    .iter()
                    .map(|t| t.split_whitespace().count() as u32)
                    .sum(),
                total_tokens: input_texts
                    .iter()
                    .map(|t| t.split_whitespace().count() as u32)
                    .sum(),
            },
        })
    }
    /// Analyze text sentiment
    pub async fn analyze_sentiment(&self, text: &str) -> Result<SentimentResult> {
        let score = (text.len() % 100) as f32 / 100.0;
        let sentiment = if score > 0.6 {
            "positive"
        } else if score < 0.4 {
            "negative"
        } else {
            "neutral"
        };
        Ok(SentimentResult {
            sentiment: sentiment.to_string(),
            confidence_scores: SentimentScores {
                positive: if sentiment == "positive" {
                    score
                } else {
                    1.0 - score
                },
                neutral: if sentiment == "neutral" {
                    score
                } else {
                    (1.0 - score) / 2.0
                },
                negative: if sentiment == "negative" {
                    score
                } else {
                    1.0 - score
                },
            },
        })
    }
    /// Extract key phrases from text
    pub async fn extract_key_phrases(&self, text: &str) -> Result<Vec<String>> {
        let words: Vec<&str> = text.split_whitespace().collect();
        let key_phrases = words
            .chunks(2)
            .take(5)
            .map(|chunk| chunk.join(" "))
            .collect();
        Ok(key_phrases)
    }
    /// Detect language
    pub async fn detect_language(&self, text: &str) -> Result<LanguageDetectionResult> {
        let confidence = 0.95;
        let language = if text.contains("the") || text.contains("and") {
            "en"
        } else if text.contains("le") || text.contains("et") {
            "fr"
        } else {
            "en"
        };
        Ok(LanguageDetectionResult {
            language: language.to_string(),
            confidence,
            is_translation_supported: true,
            is_transliteration_supported: false,
        })
    }
}
/// Function invocation result
#[derive(Debug, Clone)]
pub struct FunctionInvocationResult {
    pub execution_duration_ms: u32,
    pub billed_duration_ms: u32,
    pub memory_used_mb: u32,
    pub max_memory_used_mb: u32,
    pub response_payload: Vec<u8>,
    pub log_result: Option<String>,
    pub status_code: u16,
}
/// Cost optimization configuration
#[derive(Debug, Clone)]
pub struct CostOptimizationConfig {
    /// Enable cost optimization
    pub enabled: bool,
    /// Maximum hourly cost
    pub max_hourly_cost_usd: f64,
    /// Use spot instances
    pub use_spot_instances: bool,
    /// Auto-shutdown idle instances
    pub auto_shutdown_idle: bool,
    /// Idle threshold (minutes)
    pub idle_threshold_minutes: u32,
    /// Reserved capacity percentage
    pub reserved_capacity_percentage: f32,
}
/// Deployment configuration
#[derive(Debug, Clone)]
pub struct DeploymentConfig {
    pub model_name: String,
    pub model_version: String,
    pub instance_type: String,
    pub initial_instance_count: u32,
    pub auto_scaling_enabled: bool,
    pub environment_variables: HashMap<String, String>,
    pub resource_requirements: ResourceRequirements,
    pub networking: NetworkingConfig,
    pub data_capture: Option<DataCaptureConfig>,
}
/// Backup configuration
#[derive(Debug, Clone)]
pub struct BackupConfig {
    pub enabled: bool,
    pub retention_days: u32,
    pub backup_schedule: String,
    pub cross_region_backup: bool,
}
/// Container status
#[derive(Debug, Clone)]
pub struct ContainerStatus {
    pub name: String,
    pub status: String,
    pub restart_count: u32,
    pub current_state: String,
}
/// Container configuration
#[derive(Debug, Clone)]
pub struct ContainerConfig {
    pub name: String,
    pub image: String,
    pub cpu_cores: f32,
    pub memory_gb: f32,
    pub ports: Vec<ContainerPort>,
    pub environment_variables: HashMap<String, String>,
    pub command: Option<Vec<String>>,
}
/// Cost estimate
#[derive(Debug, Clone)]
pub struct CostEstimate {
    pub setup_cost_usd: f64,
    pub hourly_cost_usd: f64,
    pub storage_cost_usd_per_gb: f64,
    pub data_transfer_cost_usd_per_gb: f64,
    pub estimated_monthly_cost_usd: f64,
}
/// Foundation model information
#[derive(Debug, Clone)]
pub struct FoundationModel {
    pub model_id: String,
    pub model_name: String,
    pub provider_name: String,
    pub input_modalities: Vec<String>,
    pub output_modalities: Vec<String>,
    pub supported_inference_types: Vec<String>,
    pub model_lifecycle_status: String,
}
/// Cost optimization strategy
#[derive(Debug, Clone)]
pub struct CostOptimizationStrategy {
    pub use_spot_instances: bool,
    pub spot_instance_percentage: f32,
    pub use_reserved_instances: bool,
    pub reserved_instance_percentage: f32,
    pub use_savings_plans: bool,
    pub auto_shutdown_schedule: Option<AutoShutdownSchedule>,
    pub rightsizing_enabled: bool,
    pub resource_tagging_for_cost_allocation: bool,
}
/// Replication type
#[derive(Debug, Clone)]
pub enum ReplicationType {
    LocallyRedundant,
    ZoneRedundant,
    GeoRedundant,
    ReadAccessGeoRedundant,
}
/// Container group status
#[derive(Debug, Clone)]
pub enum ContainerGroupStatus {
    Creating,
    Running,
    Succeeded,
    Failed,
    Terminated,
}
/// Networking configuration
#[derive(Debug, Clone)]
pub struct NetworkingConfig {
    pub vpc_config: Option<VPCConfig>,
    pub enable_network_isolation: bool,
    pub custom_security_groups: Vec<String>,
}
/// Cloud provider types
#[derive(Debug, Clone, Serialize, Deserialize, Eq, Hash, PartialEq)]
pub enum CloudProvider {
    AWS,
    Azure,
    GoogleCloud,
    Alibaba,
    Custom(String),
}
/// Storage performance metrics
#[derive(Debug, Clone)]
pub struct StoragePerformanceMetrics {
    pub read_iops: u32,
    pub write_iops: u32,
    pub throughput_mbps: u32,
    pub latency_ms: f32,
}
/// Sentiment analysis result
#[derive(Debug, Clone)]
pub struct SentimentResult {
    pub sentiment: String,
    pub confidence_scores: SentimentScores,
}
/// Scaling status
#[derive(Debug, Clone)]
pub enum ScalingStatus {
    InProgress,
    Completed,
    Failed,
}
/// Deployment metrics
#[derive(Debug, Clone)]
pub struct DeploymentMetrics {
    pub deployment_id: String,
    pub time_range: (DateTime<Utc>, DateTime<Utc>),
    pub invocations: u64,
    pub average_latency_ms: f64,
    pub error_rate: f64,
    pub throughput_per_second: f64,
    pub cpu_utilization: f64,
    pub memory_utilization: f64,
    pub network_in_mb: f64,
    pub network_out_mb: f64,
    pub costs: HashMap<String, f64>,
}
/// GPU cluster result
#[derive(Debug, Clone)]
pub struct GPUClusterResult {
    pub cluster_id: String,
    pub cluster_name: String,
    pub status: ClusterStatus,
    pub endpoint: String,
    pub node_count: u32,
    pub total_gpu_count: u32,
    pub creation_time: DateTime<Utc>,
    pub estimated_hourly_cost: f64,
}
/// Resource requirements
#[derive(Debug, Clone)]
pub struct ResourceRequirements {
    pub cpu_cores: f32,
    pub memory_gb: f32,
    pub gpu_count: u32,
    pub storage_gb: u32,
}
/// Lifecycle policy
#[derive(Debug, Clone)]
pub struct LifecyclePolicy {
    pub transition_to_ia_days: Option<u32>,
    pub transition_to_glacier_days: Option<u32>,
    pub transition_to_deep_archive_days: Option<u32>,
    pub expiration_days: Option<u32>,
}
/// Storage status
#[derive(Debug, Clone)]
pub enum StorageStatus {
    Creating,
    Available,
    Modifying,
    Deleting,
    Error,
}
/// Deployment result
#[derive(Debug, Clone)]
pub struct DeploymentResult {
    pub deployment_id: String,
    pub status: DeploymentStatus,
    pub endpoint_url: Option<String>,
    pub estimated_completion: Option<DateTime<Utc>>,
    pub cost_estimate: Option<CostEstimate>,
    pub metadata: HashMap<String, String>,
}
/// Cloud service trait
#[async_trait]
pub trait CloudService: Send + Sync {
    /// Deploy model to cloud service
    async fn deploy_model(&self, deployment_config: &DeploymentConfig) -> Result<DeploymentResult>;
    /// Get inference endpoint
    async fn get_endpoint(&self, deployment_id: &str) -> Result<EndpointInfo>;
    /// Scale deployment
    async fn scale_deployment(
        &self,
        deployment_id: &str,
        target_instances: u32,
    ) -> Result<ScalingResult>;
    /// Get deployment metrics
    async fn get_metrics(
        &self,
        deployment_id: &str,
        time_range: (DateTime<Utc>, DateTime<Utc>),
    ) -> Result<DeploymentMetrics>;
    /// Update deployment configuration
    async fn update_deployment(
        &self,
        deployment_id: &str,
        config: &DeploymentConfig,
    ) -> Result<UpdateResult>;
    /// Delete deployment
    async fn delete_deployment(&self, deployment_id: &str) -> Result<()>;
    /// List deployments
    async fn list_deployments(&self) -> Result<Vec<DeploymentInfo>>;
    /// Get cost estimates
    async fn estimate_costs(
        &self,
        config: &DeploymentConfig,
        duration_hours: u32,
    ) -> Result<CostEstimate>;
    /// Deploy serverless function
    async fn deploy_serverless_function(
        &self,
        function_config: &ServerlessFunctionConfig,
    ) -> Result<ServerlessDeploymentResult>;
    /// Invoke serverless function
    async fn invoke_function(
        &self,
        function_name: &str,
        payload: &[u8],
    ) -> Result<FunctionInvocationResult>;
    /// Create GPU cluster
    async fn create_gpu_cluster(
        &self,
        cluster_config: &GPUClusterConfig,
    ) -> Result<GPUClusterResult>;
    /// Manage storage resources
    async fn manage_storage(&self, storage_config: &StorageConfig) -> Result<StorageResult>;
    /// Optimize costs with spot instances and reserved capacity
    async fn optimize_costs(
        &self,
        optimization_config: &CostOptimizationStrategy,
    ) -> Result<CostOptimizationResult>;
}

/// Cloud integration manager
pub struct CloudIntegrationManager {
    pub(crate) providers: Arc<RwLock<HashMap<CloudProvider, Box<dyn CloudService>>>>,
    config: CloudIntegrationConfig,
}
impl CloudIntegrationManager {
    /// Create new cloud integration manager
    pub fn new(config: CloudIntegrationConfig) -> Self {
        Self {
            providers: Arc::new(RwLock::new(HashMap::new())),
            config,
        }
    }
    /// Register cloud provider
    pub async fn register_provider(
        &self,
        provider_type: CloudProvider,
        service: Box<dyn CloudService>,
    ) -> Result<()> {
        let mut providers = self.providers.write().await;
        providers.insert(provider_type, service);
        Ok(())
    }
    /// Deploy model to cloud
    pub async fn deploy_model(
        &self,
        provider: Option<CloudProvider>,
        config: &DeploymentConfig,
    ) -> Result<DeploymentResult> {
        let provider_type = provider.unwrap_or_else(|| self.config.default_provider.clone());
        let providers = self.providers.read().await;
        let service = providers
            .get(&provider_type)
            .ok_or_else(|| anyhow!("Provider not registered: {:?}", provider_type))?;
        service.deploy_model(config).await
    }
    /// Get multi-cloud cost comparison
    pub async fn compare_costs(
        &self,
        config: &DeploymentConfig,
        duration_hours: u32,
    ) -> Result<HashMap<CloudProvider, CostEstimate>> {
        let providers = self.providers.read().await;
        let mut cost_comparison = HashMap::new();
        for (provider_type, service) in providers.iter() {
            if let Ok(estimate) = service.estimate_costs(config, duration_hours).await {
                cost_comparison.insert(provider_type.clone(), estimate);
            }
        }
        Ok(cost_comparison)
    }
    /// Optimize deployment across providers
    pub async fn optimize_deployment(
        &self,
        config: &DeploymentConfig,
    ) -> Result<OptimizationRecommendation> {
        let cost_comparison = self.compare_costs(config, 24 * 30).await?;
        let cheapest_provider = cost_comparison
            .iter()
            .min_by(|a, b| {
                a.1.estimated_monthly_cost_usd
                    .partial_cmp(&b.1.estimated_monthly_cost_usd)
                    .unwrap_or(std::cmp::Ordering::Equal)
            })
            .map(|(provider, _)| provider.clone());
        Ok(OptimizationRecommendation {
            recommended_provider: cheapest_provider,
            cost_savings: cost_comparison,
            performance_considerations: vec![
                "Consider network latency to your primary data sources".to_string(),
                "Evaluate regional availability and compliance requirements".to_string(),
            ],
            risk_assessment: "Low risk for cost optimization, medium risk for performance changes"
                .to_string(),
        })
    }
}
/// Model pricing information
#[derive(Debug, Clone)]
pub struct ModelPricing {
    pub input_token_price_per_1k: f64,
    pub output_token_price_per_1k: f64,
    pub model_units_price_per_hour: Option<f64>,
    pub embedding_price_per_1k_tokens: Option<f64>,
}
/// Auto-scaling configuration
#[derive(Debug, Clone)]
pub struct AutoScalingConfig {
    /// Enable auto-scaling
    pub enabled: bool,
    /// Minimum instances
    pub min_instances: u32,
    /// Maximum instances
    pub max_instances: u32,
    /// Target CPU utilization (%)
    pub target_cpu_utilization: f32,
    /// Target memory utilization (%)
    pub target_memory_utilization: f32,
    /// Scale up threshold
    pub scale_up_threshold: f32,
    /// Scale down threshold
    pub scale_down_threshold: f32,
    /// Cool down period (seconds)
    pub cooldown_period_seconds: u32,
}
/// Language detection result
#[derive(Debug, Clone)]
pub struct LanguageDetectionResult {
    pub language: String,
    pub confidence: f32,
    pub is_translation_supported: bool,
    pub is_transliteration_supported: bool,
}
/// Implementation effort
#[derive(Debug, Clone)]
pub enum ImplementationEffort {
    Low,
    Medium,
    High,
}
/// AWS SageMaker integration
#[allow(dead_code)]
pub struct AWSSageMakerService {
    pub(crate) region: String,
    pub(crate) access_key_id: String,
    pub(crate) secret_access_key: String,
    pub(crate) session_token: Option<String>,
}
impl AWSSageMakerService {
    pub fn new(
        region: String,
        access_key_id: String,
        secret_access_key: String,
        session_token: Option<String>,
    ) -> Self {
        Self {
            region,
            access_key_id,
            secret_access_key,
            session_token,
        }
    }
}
/// Azure ML Service integration
#[allow(dead_code)]
pub struct AzureMLService {
    pub(crate) subscription_id: String,
    pub(crate) resource_group: String,
    pub(crate) workspace_name: String,
    pub(crate) tenant_id: String,
    pub(crate) client_id: String,
    pub(crate) client_secret: String,
}
impl AzureMLService {
    pub fn new(
        subscription_id: String,
        resource_group: String,
        workspace_name: String,
        tenant_id: String,
        client_id: String,
        client_secret: String,
    ) -> Self {
        Self {
            subscription_id,
            resource_group,
            workspace_name,
            tenant_id,
            client_id,
            client_secret,
        }
    }
}
/// Cost optimization result
#[derive(Debug, Clone)]
pub struct CostOptimizationResult {
    pub estimated_monthly_savings_usd: f64,
    pub optimization_actions_taken: Vec<OptimizationAction>,
    pub potential_risks: Vec<String>,
    pub implementation_timeline: Vec<OptimizationPhase>,
}
/// Container group result
#[derive(Debug, Clone)]
pub struct ContainerGroupResult {
    pub container_group_id: String,
    pub name: String,
    pub status: ContainerGroupStatus,
    pub fqdn: Option<String>,
    pub ip_address: Option<String>,
    pub containers: Vec<ContainerStatus>,
    pub creation_time: DateTime<Utc>,
    pub estimated_hourly_cost: f64,
}
/// VPC configuration
#[derive(Debug, Clone)]
pub struct VPCConfig {
    pub vpc_id: String,
    pub subnet_ids: Vec<String>,
    pub security_group_ids: Vec<String>,
}
/// Auto shutdown schedule
#[derive(Debug, Clone)]
pub struct AutoShutdownSchedule {
    pub weekday_shutdown_hour: u8,
    pub weekend_shutdown_hour: u8,
    pub startup_hour: u8,
    pub timezone: String,
}
/// IAM configuration
#[derive(Debug, Clone)]
pub struct IAMConfig {
    pub execution_role_arn: String,
    pub task_role_arn: Option<String>,
    pub policies: Vec<String>,
}
/// Performance tier
#[derive(Debug, Clone)]
pub enum PerformanceTier {
    Standard,
    HighPerformance,
    Archive,
    ColdStorage,
}
/// Sentiment confidence scores
#[derive(Debug, Clone)]
pub struct SentimentScores {
    pub positive: f32,
    pub neutral: f32,
    pub negative: f32,
}
/// Data capture configuration
#[derive(Debug, Clone)]
pub struct DataCaptureConfig {
    pub enabled: bool,
    pub initial_sampling_percentage: f32,
    pub destination_s3_uri: String,
    pub kms_key_id: Option<String>,
}
/// Serverless deployment result
#[derive(Debug, Clone)]
pub struct ServerlessDeploymentResult {
    pub function_arn: String,
    pub function_name: String,
    pub status: ServerlessStatus,
    pub invoke_url: Option<String>,
    pub version: String,
    pub last_modified: DateTime<Utc>,
}
/// Optimization action
#[derive(Debug, Clone)]
pub struct OptimizationAction {
    pub action_type: String,
    pub description: String,
    pub estimated_savings_usd: f64,
    pub implementation_effort: ImplementationEffort,
}
/// Azure Container Instances integration
#[allow(dead_code)]
pub struct AzureContainerInstances {
    subscription_id: String,
    resource_group: String,
    tenant_id: String,
    client_id: String,
    client_secret: String,
}
impl AzureContainerInstances {
    pub fn new(
        subscription_id: String,
        resource_group: String,
        tenant_id: String,
        client_id: String,
        client_secret: String,
    ) -> Self {
        Self {
            subscription_id,
            resource_group,
            tenant_id,
            client_id,
            client_secret,
        }
    }
    /// Create container group
    pub async fn create_container_group(
        &self,
        config: &ContainerGroupConfig,
    ) -> Result<ContainerGroupResult> {
        let container_group_id = format!("aci-{}", Uuid::new_v4());
        let estimated_cost = config.containers.iter().fold(0.0, |acc, container| {
            acc + match container.cpu_cores {
                cores if cores <= 1.0 => 0.0012,
                cores if cores <= 2.0 => 0.0024,
                _ => 0.0048,
            } * 3600.0
        });
        Ok(ContainerGroupResult {
            container_group_id,
            name: config.name.clone(),
            status: ContainerGroupStatus::Creating,
            fqdn: Some(format!(
                "{}.{}.azurecontainer.io",
                config.name, config.location
            )),
            ip_address: Some("20.1.2.3".to_string()),
            containers: config
                .containers
                .iter()
                .map(|c| ContainerStatus {
                    name: c.name.clone(),
                    status: "Creating".to_string(),
                    restart_count: 0,
                    current_state: "Waiting".to_string(),
                })
                .collect(),
            creation_time: Utc::now(),
            estimated_hourly_cost: estimated_cost,
        })
    }
    /// Get container group status
    pub async fn get_container_group_status(
        &self,
        _container_group_name: &str,
    ) -> Result<ContainerGroupStatus> {
        Ok(ContainerGroupStatus::Running)
    }
    /// Delete container group
    pub async fn delete_container_group(&self, container_group_name: &str) -> Result<()> {
        println!("Deleting Azure Container Group: {container_group_name}");
        Ok(())
    }
    /// Get container logs
    pub async fn get_container_logs(
        &self,
        container_group_name: &str,
        container_name: &str,
    ) -> Result<String> {
        Ok(
            format!(
                "[2025-06-30 10:00:00] Container {container_name} in group {container_group_name} started successfully\n[2025-06-30 10:00:01] Application initialized\n[2025-06-30 10:00:02] Ready to accept requests"
            ),
        )
    }
}
/// Storage type
#[derive(Debug, Clone)]
pub enum StorageType {
    ObjectStorage,
    BlockStorage,
    FileStorage,
    DataLake,
}
/// Optimization recommendation
#[derive(Debug, Clone)]
pub struct OptimizationRecommendation {
    pub recommended_provider: Option<CloudProvider>,
    pub cost_savings: HashMap<CloudProvider, CostEstimate>,
    pub performance_considerations: Vec<String>,
    pub risk_assessment: String,
}
/// Security configuration
#[derive(Debug, Clone)]
pub struct SecurityConfig {
    /// Enable encryption at rest
    pub encryption_at_rest: bool,
    /// Enable encryption in transit
    pub encryption_in_transit: bool,
    /// VPC configuration
    pub vpc_config: Option<VPCConfig>,
    /// IAM roles and policies
    pub iam_config: Option<IAMConfig>,
    /// Network access control
    pub network_acl: Vec<NetworkRule>,
}
/// Container group configuration
#[derive(Debug, Clone)]
pub struct ContainerGroupConfig {
    pub name: String,
    pub location: String,
    pub os_type: String,
    pub restart_policy: String,
    pub containers: Vec<ContainerConfig>,
    pub ip_address_type: String,
    pub dns_name_label: Option<String>,
}
/// AWS Bedrock service integration
#[allow(dead_code)]
pub struct AWSBedrockService {
    region: String,
    access_key_id: String,
    secret_access_key: String,
    session_token: Option<String>,
}
impl AWSBedrockService {
    pub fn new(
        region: String,
        access_key_id: String,
        secret_access_key: String,
        session_token: Option<String>,
    ) -> Self {
        Self {
            region,
            access_key_id,
            secret_access_key,
            session_token,
        }
    }
    /// List available foundation models
    pub async fn list_foundation_models(&self) -> Result<Vec<FoundationModel>> {
        Ok(vec![
            FoundationModel {
                model_id: "amazon.titan-embed-text-v1".to_string(),
                model_name: "Amazon Titan Text Embeddings".to_string(),
                provider_name: "Amazon".to_string(),
                input_modalities: vec!["TEXT".to_string()],
                output_modalities: vec!["EMBEDDING".to_string()],
                supported_inference_types: vec!["ON_DEMAND".to_string()],
                model_lifecycle_status: "ACTIVE".to_string(),
            },
            FoundationModel {
                model_id: "cohere.embed-english-v3".to_string(),
                model_name: "Cohere Embed English".to_string(),
                provider_name: "Cohere".to_string(),
                input_modalities: vec!["TEXT".to_string()],
                output_modalities: vec!["EMBEDDING".to_string()],
                supported_inference_types: vec!["ON_DEMAND".to_string()],
                model_lifecycle_status: "ACTIVE".to_string(),
            },
        ])
    }
    /// Invoke Bedrock model for embeddings
    pub async fn invoke_model(
        &self,
        model_id: &str,
        input_text: &str,
    ) -> Result<BedrockEmbeddingResult> {
        let embedding_dimension = match model_id {
            "amazon.titan-embed-text-v1" => 1536,
            "cohere.embed-english-v3" => 1024,
            _ => 768,
        };
        let embedding: Vec<f32> = (0..embedding_dimension)
            .map(|i| (i as f32 * 0.001) + (input_text.len() as f32 * 0.01))
            .collect();
        Ok(BedrockEmbeddingResult {
            embedding,
            input_token_count: input_text.split_whitespace().count() as u32,
            model_id: model_id.to_string(),
            response_metadata: HashMap::from([
                ("request_id".to_string(), Uuid::new_v4().to_string()),
                ("model_version".to_string(), "1.0".to_string()),
            ]),
        })
    }
    /// Get model pricing information
    pub async fn get_model_pricing(&self, model_id: &str) -> Result<ModelPricing> {
        let pricing = match model_id {
            "amazon.titan-embed-text-v1" => ModelPricing {
                input_token_price_per_1k: 0.0001,
                output_token_price_per_1k: 0.0,
                model_units_price_per_hour: None,
                embedding_price_per_1k_tokens: Some(0.0001),
            },
            "cohere.embed-english-v3" => ModelPricing {
                input_token_price_per_1k: 0.0001,
                output_token_price_per_1k: 0.0,
                model_units_price_per_hour: None,
                embedding_price_per_1k_tokens: Some(0.0001),
            },
            _ => ModelPricing {
                input_token_price_per_1k: 0.0002,
                output_token_price_per_1k: 0.0,
                model_units_price_per_hour: None,
                embedding_price_per_1k_tokens: Some(0.0002),
            },
        };
        Ok(pricing)
    }
}
/// Storage result
#[derive(Debug, Clone)]
pub struct StorageResult {
    pub storage_id: String,
    pub endpoint: String,
    pub status: StorageStatus,
    pub actual_capacity_gb: u64,
    pub monthly_cost_estimate: f64,
    pub performance_metrics: StoragePerformanceMetrics,
}
/// Bedrock embedding result
#[derive(Debug, Clone)]
pub struct BedrockEmbeddingResult {
    pub embedding: Vec<f32>,
    pub input_token_count: u32,
    pub model_id: String,
    pub response_metadata: HashMap<String, String>,
}
/// Cluster status
#[derive(Debug, Clone)]
pub enum ClusterStatus {
    Creating,
    Active,
    Updating,
    Deleting,
    Failed,
    Suspended,
}
/// Azure embedding result
#[derive(Debug, Clone)]
pub struct AzureEmbeddingResult {
    pub embeddings: Vec<Vec<f32>>,
    pub model: String,
    pub usage: TokenUsage,
}
/// Token usage information
#[derive(Debug, Clone)]
pub struct TokenUsage {
    pub prompt_tokens: u32,
    pub total_tokens: u32,
}
/// Deployment status
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum DeploymentStatus {
    Creating,
    InService,
    Updating,
    Failed,
    Deleting,
    OutOfService,
}
/// Update status
#[derive(Debug, Clone)]
pub enum UpdateStatus {
    InProgress,
    Completed,
    Failed,
    RollingBack,
}
/// Scaling result
#[derive(Debug, Clone)]
pub struct ScalingResult {
    pub deployment_id: String,
    pub previous_instance_count: u32,
    pub target_instance_count: u32,
    pub scaling_status: ScalingStatus,
    pub estimated_completion: Option<DateTime<Utc>>,
}
/// Deployment information
#[derive(Debug, Clone)]
pub struct DeploymentInfo {
    pub deployment_id: String,
    pub name: String,
    pub status: DeploymentStatus,
    pub model_name: String,
    pub instance_type: String,
    pub instance_count: u32,
    pub creation_time: DateTime<Utc>,
    pub last_modified_time: DateTime<Utc>,
}
/// Serverless function status
#[derive(Debug, Clone)]
pub enum ServerlessStatus {
    Pending,
    Active,
    Inactive,
    Failed,
}
/// Storage configuration
#[derive(Debug, Clone)]
pub struct StorageConfig {
    pub storage_type: StorageType,
    pub capacity_gb: u64,
    pub performance_tier: PerformanceTier,
    pub replication_type: ReplicationType,
    pub backup_config: Option<BackupConfig>,
    pub lifecycle_policy: Option<LifecyclePolicy>,
}
/// Update result
#[derive(Debug, Clone)]
pub struct UpdateResult {
    pub deployment_id: String,
    pub update_status: UpdateStatus,
    pub previous_config: DeploymentConfig,
    pub new_config: DeploymentConfig,
    pub estimated_completion: Option<DateTime<Utc>>,
}
/// Container port configuration
#[derive(Debug, Clone)]
pub struct ContainerPort {
    pub port: u16,
    pub protocol: String,
}
/// Serverless function configuration
#[derive(Debug, Clone)]
pub struct ServerlessFunctionConfig {
    pub function_name: String,
    pub runtime: String,
    pub memory_mb: u32,
    pub timeout_seconds: u32,
    pub environment_variables: HashMap<String, String>,
    pub code_package_url: String,
    pub handler: String,
    pub vpc_config: Option<VPCConfig>,
    pub layers: Vec<String>,
}
/// Optimization phase
#[derive(Debug, Clone)]
pub struct OptimizationPhase {
    pub phase_name: String,
    pub duration_days: u32,
    pub actions: Vec<String>,
    pub expected_savings_usd: f64,
}
/// Endpoint status
#[derive(Debug, Clone)]
pub enum EndpointStatus {
    OutOfService,
    Creating,
    Updating,
    SystemUpdating,
    RollingBack,
    InService,
    Deleting,
    Failed,
}
/// Monitoring configuration
#[derive(Debug, Clone)]
pub struct MonitoringConfig {
    /// Enable detailed monitoring
    pub enabled: bool,
    /// Metrics collection interval (seconds)
    pub collection_interval_seconds: u32,
    /// Alert thresholds
    pub alert_thresholds: HashMap<String, f64>,
    /// Notification endpoints
    pub notification_endpoints: Vec<String>,
}
/// Cloud integration configuration
#[derive(Debug, Clone)]
pub struct CloudIntegrationConfig {
    /// Default provider
    pub default_provider: CloudProvider,
    /// Auto-scaling configuration
    pub auto_scaling: AutoScalingConfig,
    /// Cost optimization settings
    pub cost_optimization: CostOptimizationConfig,
    /// Security settings
    pub security: SecurityConfig,
    /// Monitoring configuration
    pub monitoring: MonitoringConfig,
}